Sides for the talk on End-to-End Enterprise Machine Learning.

## About

Researcher, educator and solver of computationally-intensive mathematical problems. I currently work as a Senior Data Science Developer Advocate at Databricks where I work on Data Science and Machine Learning. Prior to this, I worked as a Computational Scientist at Virginia Tech (2014 - 2020), where I had the privilege of working with some great minds and state-of-the-art science.

## Topic Modeling with PySpark and Feature Store

A Databricks post that I authored on creating a topic modeling pipeline with PySpark and the Databricks Feature Store:

## Using Bayesian Hierarchical Models to Infer the Disease Parameters of COVID-19

### Bayesian Modeling with PyMC3

## Maintainable HPC with Python and C++

### NCAR presentation

Slides from my presentation at the “Improving Scientific Software” conference at the National Center for Atmospheric Research (NCAR).

## Bayesian Modeling of the Temporal Dynamics of COVID-19 using PyMC3

### Data+AI Summit, Europe 2020

## Rclone for Data Transfer - Google Drive

### Data backup

## Backup of Gitlab repositories

### Reproducible Git

## Multi-GPU Computing with Pytorch (Draft)

### An overview

## Easiest way toward Multi-GPU training in Tensorflow 2

### Quick tip

## Disease modeling using Julia for COVID-19

### SIR, SIS, SIRS models and the impact of social distancing

This Jupyter notebook contains disease propagation modeling using the SIR, SIS and SIRS models in Julia. The impact of social distancingis assessed using these various models. Also shown is the outbreak size as a function of the mean degree of connectivity (physical interaction) of the social network.